线性时变系统的稳定性

本文介绍线性时变系统方程解的估计问题。根据系统方程系数矩阵Ａ，给出一种方法找出方程解的上边界和下边界。而这种方法与方程的精确解是完全一致的。然后建立线性时变系统稳定性判据。     

基于线性变系数差分方程的运动目标检测方法

将RMTI方法所限定的目标运动模型扩展到匀加速运动的情况,提出了一种基于线性变系数差分方程的运动弱目标检测方法,并分析了其信噪比增益与背景噪声的时间相关系数、空间相关矢量之间的关系.实验结果表明该方法能有效地提高对低信噪比条件下匀加速运动目标的检测能力.     

变系数线性模型参数的递推估计

变系数线性模型参数的递推估计胡峰（西安卫星测控中心７１００４３）关键词递推估计,最小二乘法,变系数线性模型１引言在工程数据的综合处理中,特别是在卫星及运载工具的动态目标跟踪与精密定位时自从Ｂｒｏｗｎ［‘’提出最佳弹道自校准估计（ＥＭＢＥＴ）技术以来,...     

有限状态变系数离散系统的稳定性检验

提出了系统参数独立于系统节拍变化的有限状态变系数离散系统模型、稳定性检验定理及稳定性检验的快速算法.这类系统的稳定的充分必要条件是其传递函数的分母多项式为有限Schur多项式簇.提出了改进的变系数Schur检验表,使系统的稳定性检验过程简化,计算量大为减少,有限次运算即可完成.     

非线性延迟积分微分方程线性多步法的渐近稳定性

本文研究了非线性延迟积分微分方程线性多步法的渐近稳定性.证明了在约束网格下,带有复合求积公式A-稳定的线性多步法能够保持解析解的渐近稳定性.文章最后,数值试验验证了本文的结论.     

线性时变系统的区间稳定性和鲁棒稳定性

用矩阵测度研究了线性时变系统的区间稳 定性和具有非线性时变摄动的线性时变系统的鲁棒稳定性,得到了它们稳定的判别准则,所 得结果与文\[1~5\]的结果互不包含．     

变系数偏微分方程的Galerkin KPOD模型降阶方法

研究了变系数偏微分方程的 Galerkin KPOD (Krylov Enhanced Proper Orthogonal Decomposition)模型降阶方法.首先基于Galerkin有限元理论建立变系数偏微分方程的空间离散格式,得到具有时变系数矩阵的常微分方程组,并对该常微分方程组应用KPOD模型降阶方法进行降阶并求解.其次,对降阶投影算子进行了分析,给出了 Galerkin有限元解与Galerkin KPOD降阶解之间的误差界.最后用数值算例验证了变系数偏微分方程的Galerkin KPOD模型降阶求解方法的可行性,通过有限元离散解与Galerkin KPOD降阶解、Galerkin POD降阶解之间的误差比较,体现Galerkin KPOD降阶方法的优势.     

非线性中立型延迟积分微分方程线性θ-方法的渐近稳定性

将线性θ-方法用于求解R（α,β1,β2,γ）类非线性中立型延迟积分微分方程,结果表明A-稳定的线性θ-方法（也即1/2≤θ≤1）是渐近稳定的,最后的数值试验验证了所获理论结果的正确性.     

线性切换系统的矩阵系数多项式描述模型

针对线性切换系统,提出一种新的数学模型－矩阵系数多项式技术模型。该模型能够更简洁地描述系统,实现自治线性切换系统的仿真。     

中立型变时滞系统的鲁棒稳定性

考虑不确定中立型变时滞系统的鲁棒稳定性问题. 首先, 引入新的变量来代替系统的不确定性; 然后, 通过构造一般形式的Lyapunov-Krasovskii泛函、使用积分不等式并引入自由矩阵, 得到了基于线性矩阵不等式的系统稳定性判据. 该结论与中立型时滞, 离散时滞及其导数均相关, 具有较小的保守性. 最后, 通过仿真算例说明了所得到的结论在保守性上优于现存的结果以及中立型时滞, 离散时滞及其导数三者之间的关系.     

常系数线性系统稳定度的实用判据

本文对常系数线性系统ｄｘ／ｄｔ＝Ａｘ，合出几个直接由矩阵Ａ的元素迅速确定系统的品质指标－稳定度的实用代数判据。     

Robust Exponential Stability Analysis of Uncertain Discrete Time‐Varying Linear Systems

This paper studies the robust exponential stability of uncertain discrete linear time‐varying (UDLTV) systems. The key tool is the recently proposed generating functions. It can be found that a class of improved generating functions (IGFS) can fully characterize the robust exponential stability of UDLTV systems, and the maximum exponential decay rate of system trajectories can be computed by the radius of convergence of the IGFS. Moreover, the application of convex optimization technique and dynamic programming method provides an effective algorithm for the computation of the IGFS. Finally, the numerical example illustrates the efficacy and advantage of the proposed approach.     

关于线性时变离散系统的稳定性

本文研究线性时变离散系统的稳定性，采用一种解的估计技巧，简化了［１］用Ｇａｕｓｓ－Ｓｅｉｄｅｌ迭代法建立的稳定性判据的证明，并获得一些新的代数判据。     

单滞后时变区间动力系统的指数稳定性

用矩阵测度和时滞微分不等式研究了单滞后时变区间动力系统 x(t) =N[P(t) ,Q(t) ]x(t) +N[C(t) ,D(t) ]x(t -τ) ,τ≥ 0 的指数稳定性 ,给出了其指数稳定的判别准则 ,推广和改进了文 [1～ 3]的工作     

Parallel Iterative Schemes of Linear Algebra with Application to the Stability Analysis of Solutions of Systems of Linear Differential Equations

Parallel modifications of linear iteration schemes are proposed that are used to solve systems of liner algebraic equations and to achieve the time complexity equal to T = log₂ k · O(log₂ n), where k is the number of iterations of an original scheme and n is the dimension of a system. Such schemes are extended to the case of approximate solution of systems of linear differential equations with constant coefficients. Based on them and using a program, the stability of solutions in the Lyapunov sense is analyzed.     

A Learning Control for a Class of Linear Time Varying Systems Using Double Differential of Error

In this paper, a new iterative learning control based on the double differential of the error is proposed for the linear time varying system having relative degree greater than one. The convergence criterion of the proposed method is proved. Furthermore, it is shown by simulations that convergence of error can be increased considerably by using our proposed controller as compared to the iterative learning controller using error or single differential of the error for the modification of the control input without increasing the learning gain.     

线性模糊微分系统的稳定性

利用模糊结构元方法研究了初始条件为模糊数的线性模糊微分系统的稳定性问题。将线性模糊微分系统化成同解的线性分明微分系统,给出了线性模糊微分系统解的解析表示,得到了系统稳定的充要条件。讨论了2维线性模糊微分系统平衡点的类型以及判定条件,说明在一定条件下线性模糊微分系统与线性分明微分系统平衡点的稳定性一致。最后,给出了2个实例并画出了系统相应的轨线,表明了模糊结构元方法的有效性和可行性。     

线性时滞系统时滞独立稳定的充分条件

利用Lyapunov稳定性理论，通过一个推广的Lyapunov矩阵方程得出时滞独立稳定的充分条件，基于这个充分条件建立了几个判定线性时滞系统稳定性的简单判据，并推导出系统具有任意指定收敛速度指数稳定的充分条件。计算例子说明了所得结果的有效性。     

Relationships between Linear Dynamically Varying Systems and Jump Linear Systems

The connection between linear dynamically varying (LDV) systems and jump linear (JL) systems is explored. LDV systems have been used to model the error in nonlinear tracking problems. Some nonlinear systems, for example Axiom A systems, admit Markov partitions and their dynamics can be quantized as Markov chains. In this case the tracking error can be approximated by a JL system. It is shown that (i) JL controllers for arbitrarily fine partitions exist if and only if the LDV controller exists; (ii) the JL controller stabilizes the nonlinear dynamical system; (iii) JL controllers provide approximations of the LDV controller. Finally, it is shown that this process is robust against such errors in the probability structure as the inaccurate assumption that an easily constructed partition is Markov. Date received: August 20, 2001. Date revised: June 5, 2003. This research was supported by National Science Foundation Grant ECS-98-02594.